Semantic Scholar

Semantic Scholar is a free AI-powered academic search engine created by the Allen Institute for AI (AI2). It indexes over 200 million academic papers across all scientific disciplines and uses AI to understand research context, relationships between papers, and key findings — going far beyond simple keyword matching.

The platform's standout features include TLDR (one-sentence AI summaries of paper abstracts), citation graphs that visually map how papers relate to each other, and Research Feeds that send personalized alerts when new papers matching your interests are published. These AI-powered features make it significantly faster to evaluate whether a paper is relevant before reading the full text.

Semantic Reader is an augmented reading tool that enriches the paper-reading experience with inline definitions, related work suggestions, and contextual information. The platform also offers a robust API for developers building research tools, with paper search capabilities and comprehensive documentation.

Semantic Scholar uses a combination of machine learning, natural language processing, and computer vision to extract figures, tables, entities, and venues from papers, adding semantic understanding on top of traditional citation analysis. It is completely free with no subscription, no credit limits, and no premium tier.